Nacre vs Ysatis

Сравнение Nacre от Jean Patou и Ysatis от Givenchy бок о бок

Jean Patou

2001feminine

3.97(30)

Аккорды

Givenchy

1984feminine

4.09(3,516)

Аккорды

Сводка сравнения

Общие ноты (4)

Жасмин Цветок апельсина Роза Ваниль

Уникальные для Nacre (5)

Ambrette Musk Mallow Груша Имбирь Lemon Blossom Orris Root

Уникальные для Ysatis (23)

Общие аккорды (3)

БелоцветочныйЦветочныйСладкий

Свойство	Nacre	Ysatis
Бренд	Jean Patou	Givenchy
Год	2001	1984
Оценка	3.97	4.09
Концентрация	—	—
Пол	feminine	feminine
Всего нот	9	27

Частые вопросы

What's the difference between Nacre and Ysatis?+

Nacre is a feminine fragrance (marketed to women, though wearable by all) from Jean Patou (2001) dominated by White Floral accords. Ysatis is a feminine fragrance (marketed to women, though wearable by all) from Givenchy (1984) leaning on Woody accords. They share 3 accords: White Floral, Floral, Sweet.

Which is better, Nacre or Ysatis?+

By community rating, Nacre scores 3.97/5 vs Ysatis at 4.09/5. The "better" choice depends on what you value — longevity, projection, season fit, or signature character.

Do Nacre and Ysatis smell similar?+

They share 4 notes and 3 accords, including White Floral, Floral, Sweet, Jasmine, Orange Blossom. Ysatis: The provided community opinions do not contain substantive discussion about Ysatis by Givenchy.

Which lasts longer, Nacre or Ysatis?+

Longevity varies by skin chemistry, concentration, and application method.

Which season suits Nacre vs Ysatis?+

Nacre scores highest for summer wear; Ysatis scores highest for all seasons wear. Nacre leans daytime, Ysatis leans daytime.

Пульс настроений сообщества — Ysatis

Смешанное

94 мнений · Источник: сообщество r/fragrance

0.0

/10

The provided community opinions do not contain substantive discussion about Ysatis by Givenchy. The Reddit posts focus on general fragrance collection appreciation, recommendation threads for other fragrances, and collection showcase discussions, but do not include specific commentary about Ysatis that would allow for accurate analysis of community sentiment, strengths, weaknesses, or use cases.